{ "dataset_revision": "e95831b0fa902edc955f3b60e3e63b349bb7bd02", "task_name": "OpusparcusPC", "mteb_version": "2.18.7", "scores": { "test.full": [ { "similarity_accuracy": 0.887864, "similarity_f1": 0.926512, "similarity_precision": 0.902992, "similarity_recall": 0.951289, "similarity_ap": 0.969289, "cosine_accuracy": 0.887864, "cosine_f1": 0.926512, "cosine_precision": 0.902992, "cosine_recall": 0.951289, "cosine_ap": 0.969289, "manhattan_accuracy": 0.813343, "manhattan_f1": 0.88173, "manhattan_precision": 0.819524, "manhattan_recall": 0.954155, "manhattan_ap": 0.944002, "euclidean_accuracy": 0.814762, "euclidean_f1": 0.882119, "euclidean_precision": 0.820197, "euclidean_recall": 0.954155, "euclidean_ap": 0.944295, "dot_accuracy": 0.84599, "dot_f1": 0.903168, "dot_precision": 0.847571, "dot_recall": 0.966571, "dot_ap": 0.920466, "max_accuracy": 0.887864, "max_f1": 0.926512, "max_precision": 0.902992, "max_recall": 0.966571, "max_ap": 0.969289, "main_score": 0.969289, "hf_subset": "de", "languages": [ "deu-Latn" ], "mteb_version": "2.18.7" }, { "similarity_accuracy": 0.941395, "similarity_f1": 0.960716, "similarity_precision": 0.938776, "similarity_recall": 0.983707, "similarity_ap": 0.987129, "cosine_accuracy": 0.941395, "cosine_f1": 0.960716, "cosine_precision": 0.938776, "cosine_recall": 0.983707, "cosine_ap": 0.987129, "manhattan_accuracy": 0.881306, "manhattan_f1": 0.919028, "manhattan_precision": 0.913481, "manhattan_recall": 0.924644, "manhattan_ap": 0.967212, "euclidean_accuracy": 0.882789, "euclidean_f1": 0.919715, "euclidean_precision": 0.91785, "euclidean_recall": 0.921589, "euclidean_ap": 0.967788, "dot_accuracy": 0.923591, "dot_f1": 0.948628, "dot_precision": 0.929619, "dot_recall": 0.968432, "dot_ap": 0.974523, "max_accuracy": 0.941395, "max_f1": 0.960716, "max_precision": 0.938776, "max_recall": 0.983707, "max_ap": 0.987129, "main_score": 0.987129, "hf_subset": "en", "languages": [ "eng-Latn" ], "mteb_version": "2.18.7" }, { "similarity_accuracy": 0.840764, "similarity_f1": 0.877021, "similarity_precision": 0.826408, "similarity_recall": 0.934238, "similarity_ap": 0.935987, "cosine_accuracy": 0.840764, "cosine_f1": 0.877021, "cosine_precision": 0.826408, "cosine_recall": 0.934238, "cosine_ap": 0.935987, "manhattan_accuracy": 0.778344, "manhattan_f1": 0.831504, "manhattan_precision": 0.766051, "manhattan_recall": 0.909186, "manhattan_ap": 0.894495, "euclidean_accuracy": 0.778344, "euclidean_f1": 0.830508, "euclidean_precision": 0.756432, "euclidean_recall": 0.920668, "euclidean_ap": 0.895199, "dot_accuracy": 0.798726, "dot_f1": 0.847343, "dot_precision": 0.788669, "dot_recall": 0.915449, "dot_ap": 0.863661, "max_accuracy": 0.840764, "max_f1": 0.877021, "max_precision": 0.826408, "max_recall": 0.934238, "max_ap": 0.935987, "main_score": 0.935987, "hf_subset": "fi", "languages": [ "fin-Latn" ], "mteb_version": "2.18.7" }, { "similarity_accuracy": 0.833106, "similarity_f1": 0.886964, "similarity_precision": 0.819714, "similarity_recall": 0.966236, "similarity_ap": 0.943632, "cosine_accuracy": 0.833106, "cosine_f1": 0.886964, "cosine_precision": 0.819714, "cosine_recall": 0.966236, "cosine_ap": 0.943632, "manhattan_accuracy": 0.800409, "manhattan_f1": 0.863225, "manhattan_precision": 0.793505, "manhattan_recall": 0.946375, "manhattan_ap": 0.928213, "euclidean_accuracy": 0.799728, "euclidean_f1": 0.862781, "euclidean_precision": 0.802048, "euclidean_recall": 0.933466, "euclidean_ap": 0.928407, "dot_accuracy": 0.758174, "dot_f1": 0.846121, "dot_precision": 0.738166, "dot_recall": 0.991063, "dot_ap": 0.843389, "max_accuracy": 0.833106, "max_f1": 0.886964, "max_precision": 0.819714, "max_recall": 0.991063, "max_ap": 0.943632, "main_score": 0.943632, "hf_subset": "fr", "languages": [ "fra-Latn" ], "mteb_version": "2.18.7" }, { "similarity_accuracy": 0.756127, "similarity_f1": 0.835039, "similarity_precision": 0.741818, "similarity_recall": 0.955056, "similarity_ap": 0.883701, "cosine_accuracy": 0.756127, "cosine_f1": 0.835039, "cosine_precision": 0.741818, "cosine_recall": 0.955056, "cosine_ap": 0.883701, "manhattan_accuracy": 0.737132, "manhattan_f1": 0.818328, "manhattan_precision": 0.716901, "manhattan_recall": 0.953184, "manhattan_ap": 0.859777, "euclidean_accuracy": 0.738358, "euclidean_f1": 0.81954, "euclidean_precision": 0.720369, "euclidean_recall": 0.950375, "euclidean_ap": 0.86053, "dot_accuracy": 0.724877, "dot_f1": 0.81901, "dot_precision": 0.709677, "dot_recall": 0.968165, "dot_ap": 0.797858, "max_accuracy": 0.756127, "max_f1": 0.835039, "max_precision": 0.741818, "max_recall": 0.968165, "max_ap": 0.883701, "main_score": 0.883701, "hf_subset": "ru", "languages": [ "rus-Cyrl" ], "mteb_version": "2.18.7" }, { "similarity_accuracy": 0.864005, "similarity_f1": 0.883375, "similarity_precision": 0.833333, "similarity_recall": 0.93981, "similarity_ap": 0.942916, "cosine_accuracy": 0.864005, "cosine_f1": 0.883375, "cosine_precision": 0.833333, "cosine_recall": 0.93981, "cosine_ap": 0.942916, "manhattan_accuracy": 0.797454, "manhattan_f1": 0.830591, "manhattan_precision": 0.766756, "manhattan_recall": 0.906019, "manhattan_ap": 0.895663, "euclidean_accuracy": 0.798611, "euclidean_f1": 0.83037, "euclidean_precision": 0.761905, "euclidean_recall": 0.912355, "euclidean_ap": 0.896666, "dot_accuracy": 0.823495, "dot_f1": 0.848602, "dot_precision": 0.780834, "dot_recall": 0.92925, "dot_ap": 0.861944, "max_accuracy": 0.864005, "max_f1": 0.883375, "max_precision": 0.833333, "max_recall": 0.93981, "max_ap": 0.942916, "main_score": 0.942916, "hf_subset": "sv", "languages": [ "swe-Latn" ], "mteb_version": "2.18.7" } ], "validation.full": [ { "similarity_accuracy": 0.889447, "similarity_f1": 0.925731, "similarity_precision": 0.899441, "similarity_recall": 0.953603, "similarity_ap": 0.973589, "cosine_accuracy": 0.889447, "cosine_f1": 0.925731, "cosine_precision": 0.899441, "cosine_recall": 0.953603, "cosine_ap": 0.973589, "manhattan_accuracy": 0.829864, "manhattan_f1": 0.887442, "manhattan_precision": 0.83905, "manhattan_recall": 0.941757, "manhattan_ap": 0.947212, "euclidean_accuracy": 0.832735, "euclidean_f1": 0.886838, "euclidean_precision": 0.872849, "euclidean_recall": 0.901283, "euclidean_ap": 0.947993, "dot_accuracy": 0.840632, "dot_f1": 0.896936, "dot_precision": 0.846626, "dot_recall": 0.953603, "dot_ap": 0.929157, "max_accuracy": 0.889447, "max_f1": 0.925731, "max_precision": 0.899441, "max_recall": 0.953603, "max_ap": 0.973589, "main_score": 0.973589, "hf_subset": "de", "languages": [ "deu-Latn" ], "mteb_version": "2.18.7" }, { "similarity_accuracy": 0.924444, "similarity_f1": 0.950341, "similarity_precision": 0.939365, "similarity_recall": 0.961576, "similarity_ap": 0.986609, "cosine_accuracy": 0.924444, "cosine_f1": 0.950341, "cosine_precision": 0.939365, "cosine_recall": 0.961576, "cosine_ap": 0.986609, "manhattan_accuracy": 0.873333, "manhattan_f1": 0.917185, "manhattan_precision": 0.891993, "manhattan_recall": 0.943842, "manhattan_ap": 0.969215, "euclidean_accuracy": 0.874074, "euclidean_f1": 0.917749, "euclidean_precision": 0.896617, "euclidean_recall": 0.939901, "euclidean_ap": 0.969992, "dot_accuracy": 0.917778, "dot_f1": 0.946609, "dot_precision": 0.924812, "dot_recall": 0.969458, "dot_ap": 0.966896, "max_accuracy": 0.924444, "max_f1": 0.950341, "max_precision": 0.939365, "max_recall": 0.969458, "max_ap": 0.986609, "main_score": 0.986609, "hf_subset": "en", "languages": [ "eng-Latn" ], "mteb_version": "2.18.7" }, { "similarity_accuracy": 0.829206, "similarity_f1": 0.86986, "similarity_precision": 0.814312, "similarity_recall": 0.933541, "similarity_ap": 0.92449, "cosine_accuracy": 0.829206, "cosine_f1": 0.86986, "cosine_precision": 0.814312, "cosine_recall": 0.933541, "cosine_ap": 0.92449, "manhattan_accuracy": 0.784762, "manhattan_f1": 0.828544, "manhattan_precision": 0.768889, "manhattan_recall": 0.898235, "manhattan_ap": 0.907208, "euclidean_accuracy": 0.785397, "euclidean_f1": 0.830353, "euclidean_precision": 0.776673, "euclidean_recall": 0.892004, "euclidean_ap": 0.908004, "dot_accuracy": 0.775238, "dot_f1": 0.833925, "dot_precision": 0.728472, "dot_recall": 0.975078, "dot_ap": 0.818436, "max_accuracy": 0.829206, "max_f1": 0.86986, "max_precision": 0.814312, "max_recall": 0.975078, "max_ap": 0.92449, "main_score": 0.92449, "hf_subset": "fi", "languages": [ "fin-Latn" ], "mteb_version": "2.18.7" }, { "similarity_accuracy": 0.836182, "similarity_f1": 0.888567, "similarity_precision": 0.855948, "similarity_recall": 0.923771, "similarity_ap": 0.94761, "cosine_accuracy": 0.836182, "cosine_f1": 0.888567, "cosine_precision": 0.855948, "cosine_recall": 0.923771, "cosine_ap": 0.94761, "manhattan_accuracy": 0.811966, "manhattan_f1": 0.872644, "manhattan_precision": 0.805603, "manhattan_recall": 0.951856, "manhattan_ap": 0.935734, "euclidean_accuracy": 0.811966, "euclidean_f1": 0.872471, "euclidean_precision": 0.821809, "euclidean_recall": 0.929789, "euclidean_ap": 0.935904, "dot_accuracy": 0.763533, "dot_f1": 0.855406, "dot_precision": 0.754211, "dot_recall": 0.987964, "dot_ap": 0.858705, "max_accuracy": 0.836182, "max_f1": 0.888567, "max_precision": 0.855948, "max_recall": 0.987964, "max_ap": 0.94761, "main_score": 0.94761, "hf_subset": "fr", "languages": [ "fra-Latn" ], "mteb_version": "2.18.7" }, { "similarity_accuracy": 0.779725, "similarity_f1": 0.842717, "similarity_precision": 0.77422, "similarity_recall": 0.92451, "similarity_ap": 0.893626, "cosine_accuracy": 0.779725, "cosine_f1": 0.842717, "cosine_precision": 0.77422, "cosine_recall": 0.92451, "cosine_ap": 0.893626, "manhattan_accuracy": 0.737797, "manhattan_f1": 0.815938, "manhattan_precision": 0.730799, "manhattan_recall": 0.923529, "manhattan_ap": 0.863795, "euclidean_accuracy": 0.738423, "euclidean_f1": 0.816398, "euclidean_precision": 0.735271, "euclidean_recall": 0.917647, "euclidean_ap": 0.864402, "dot_accuracy": 0.729662, "dot_f1": 0.817355, "dot_precision": 0.706429, "dot_recall": 0.969608, "dot_ap": 0.786529, "max_accuracy": 0.779725, "max_f1": 0.842717, "max_precision": 0.77422, "max_recall": 0.969608, "max_ap": 0.893626, "main_score": 0.893626, "hf_subset": "ru", "languages": [ "rus-Cyrl" ], "mteb_version": "2.18.7" }, { "similarity_accuracy": 0.864896, "similarity_f1": 0.889309, "similarity_precision": 0.831858, "similarity_recall": 0.955285, "similarity_ap": 0.939007, "cosine_accuracy": 0.864896, "cosine_f1": 0.889309, "cosine_precision": 0.831858, "cosine_recall": 0.955285, "cosine_ap": 0.939007, "manhattan_accuracy": 0.805427, "manhattan_f1": 0.828598, "manhattan_precision": 0.775709, "manhattan_recall": 0.889228, "manhattan_ap": 0.903162, "euclidean_accuracy": 0.805427, "euclidean_f1": 0.827179, "euclidean_precision": 0.802292, "euclidean_recall": 0.853659, "euclidean_ap": 0.903829, "dot_accuracy": 0.825635, "dot_f1": 0.855665, "dot_precision": 0.79615, "dot_recall": 0.924797, "dot_ap": 0.870824, "max_accuracy": 0.864896, "max_f1": 0.889309, "max_precision": 0.831858, "max_recall": 0.955285, "max_ap": 0.939007, "main_score": 0.939007, "hf_subset": "sv", "languages": [ "swe-Latn" ], "mteb_version": "2.18.7" } ] }, "evaluation_time": 13.680878333980218, "kg_co2_emissions": null, "date": 1785226049.503791, "evaluation_phases": [ { "name": "Data loading", "start": 0.0006070421077311039, "end": 6.094813439063728, "split": "", "subset": "" }, { "name": "Dataset transform", "start": 6.094820823054761, "end": 6.094822666142136, "split": "", "subset": "" }, { "name": "Encoding samples 1", "start": 6.100218483014032, "end": 6.211812094086781, "split": "test.full", "subset": "de" }, { "name": "Encoding samples 2", "start": 6.212650923058391, "end": 6.3247602940537035, "split": "test.full", "subset": "de" }, { "name": "Scoring", "start": 6.325544761028141, "end": 6.329468387179077, "split": "test.full", "subset": "de" }, { "name": "Encoding samples 1", "start": 6.668530708178878, "end": 6.7735246061347425, "split": "test.full", "subset": "en" }, { "name": "Encoding samples 2", "start": 6.774378273170441, "end": 6.8802718941587955, "split": "test.full", "subset": "en" }, { "name": "Scoring", "start": 6.881088391179219, "end": 6.8844639849849045, "split": "test.full", "subset": "en" }, { "name": "Encoding samples 1", "start": 7.220983981154859, "end": 7.344481538981199, "split": "test.full", "subset": "fi" }, { "name": "Encoding samples 2", "start": 7.345366826048121, "end": 7.468913036165759, "split": "test.full", "subset": "fi" }, { "name": "Scoring", "start": 7.4697194141335785, "end": 7.473399060079828, "split": "test.full", "subset": "fi" }, { "name": "Encoding samples 1", "start": 7.815181462094188, "end": 7.933740524109453, "split": "test.full", "subset": "fr" }, { "name": "Encoding samples 2", "start": 7.934594622114673, "end": 8.051521701971069, "split": "test.full", "subset": "fr" }, { "name": "Scoring", "start": 8.052380999084562, "end": 8.056058993097395, "split": "test.full", "subset": "fr" }, { "name": "Encoding samples 1", "start": 8.679450017167255, "end": 8.809725092956796, "split": "test.full", "subset": "ru" }, { "name": "Encoding samples 2", "start": 8.810569592984393, "end": 8.938409063965082, "split": "test.full", "subset": "ru" }, { "name": "Scoring", "start": 8.939238425111398, "end": 8.94334851205349, "split": "test.full", "subset": "ru" }, { "name": "Encoding samples 1", "start": 9.283822841010988, "end": 9.417315614176914, "split": "test.full", "subset": "sv" }, { "name": "Encoding samples 2", "start": 9.418160665081814, "end": 9.550425266148522, "split": "test.full", "subset": "sv" }, { "name": "Scoring", "start": 9.551294001052156, "end": 9.555590518983081, "split": "test.full", "subset": "sv" }, { "name": "Encoding samples 1", "start": 9.897726977011189, "end": 10.00366081413813, "split": "validation.full", "subset": "de" }, { "name": "Encoding samples 2", "start": 10.004496186971664, "end": 10.11092629795894, "split": "validation.full", "subset": "de" }, { "name": "Scoring", "start": 10.111765637993813, "end": 10.11540523916483, "split": "validation.full", "subset": "de" }, { "name": "Encoding samples 1", "start": 10.454677856061608, "end": 10.557788999052718, "split": "validation.full", "subset": "en" }, { "name": "Encoding samples 2", "start": 10.558629201026633, "end": 10.663688141154125, "split": "validation.full", "subset": "en" }, { "name": "Scoring", "start": 10.664509237045422, "end": 10.667803007178009, "split": "validation.full", "subset": "en" }, { "name": "Encoding samples 1", "start": 11.006602594163269, "end": 11.130509563023224, "split": "validation.full", "subset": "fi" }, { "name": "Encoding samples 2", "start": 11.131346668116748, "end": 11.256840995047241, "split": "validation.full", "subset": "fi" }, { "name": "Scoring", "start": 11.257667451165617, "end": 11.261385199148208, "split": "validation.full", "subset": "fi" }, { "name": "Encoding samples 1", "start": 11.892102053156123, "end": 12.00406354595907, "split": "validation.full", "subset": "fr" }, { "name": "Encoding samples 2", "start": 12.004901153035462, "end": 12.117593792034313, "split": "validation.full", "subset": "fr" }, { "name": "Scoring", "start": 12.118408165173605, "end": 12.121841246960685, "split": "validation.full", "subset": "fr" }, { "name": "Encoding samples 1", "start": 12.46194827510044, "end": 12.59207249712199, "split": "validation.full", "subset": "ru" }, { "name": "Encoding samples 2", "start": 12.592950099147856, "end": 12.722543932963163, "split": "validation.full", "subset": "ru" }, { "name": "Scoring", "start": 12.723403972107917, "end": 12.7272208170034, "split": "validation.full", "subset": "ru" }, { "name": "Encoding samples 1", "start": 13.069228913169354, "end": 13.201189482118934, "split": "validation.full", "subset": "sv" }, { "name": "Encoding samples 2", "start": 13.20205538207665, "end": 13.335726010147482, "split": "validation.full", "subset": "sv" }, { "name": "Scoring", "start": 13.336648947093636, "end": 13.3406244199723, "split": "validation.full", "subset": "sv" } ] }